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Peter Elmer
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Journal Articles
- 2022
- [j4]Abdelrahman Elabd, Vesal Razavimaleki, Shi-Yu Huang, Javier M. Duarte
, Markus Atkinson, Gage DeZoort, Peter Elmer, Scott Hauck, Jin-Xuan Hu, Shih-Chieh Hsu, Bo-Cheng Lai, Mark S. Neubauer, Isobel Ojalvo, Savannah Thais, Matthew Trahms:
Graph Neural Networks for Charged Particle Tracking on FPGAs. Frontiers Big Data 5: 828666 (2022) - 2021
- [j3]Gage DeZoort
, Savannah Thais, Javier M. Duarte
, Vesal Razavimaleki, Markus Atkinson, Isobel Ojalvo, Mark S. Neubauer, Peter Elmer:
Charged Particle Tracking via Edge-Classifying Interaction Networks. Comput. Softw. Big Sci. 5(1) (2021) - [j2]Sudhir Malik
, Samuel Meehan, Kilian Lieret, Meirin Oan Evans, Michel Hernández Villanueva
, Daniel S. Katz, Graeme A. Stewart, Peter Elmer, Sizar Aziz, Matthew Bellis, Riccardo Maria Bianchi, Gianluca Bianco
, Johan Sebastian Bonilla, Angela Burger, Jackson Burzynski, David Chamont
, Matthew Feickert, Philipp Gadow, Bernhard Manfred Gruber, Daniel Guest, Stephan Hageboeck, Lukas Heinrich, Maximilian M. Horzela
, Marc Huwiler, Clemens Lange, Konstantin Lehmann, Ke Li, Devdatta Majumder, Judita Mamuzic, Kevin Nelson, Robin Newhouse, Emery Nibigira, Scarlet Norberg, Arturo Sánchez Pineda, Mason Proffitt, Brendan Regnery, Amber Roepe, Stefan Roiser, Henry Schreiner
, Oksana Shadura, Giordon Stark, Stephen Nicholas Swatman
, Savannah Thais, Andrea Valassi, Stefan Wunsch, David Yakobovitch, Siqi Yuan:
Software Training in HEP. Comput. Softw. Big Sci. 5(1) (2021) - 2010
- [j1]Alessandra Fanfani, M. Anzar Afaq, Jose Afonso Sanches, Julia Andreeva, Giuseppe Bagliesi, Lothar Bauerdick, Stefano Belforte
, Patricia Bittencourt Sampaio, Kenneth Bloom
, Barry Blumenfeld, Daniele Bonacorsi, Chris Brew, Marco Calloni, Daniele Cesini
, Mattia Cinquilli, Giuseppe Codispoti, Jorgen D'Hondt, Liang Dong, Danilo N. Dongiovanni
, Giacinto Donvito
, David Dykstra, Erik Edelmann, Ricky Egeland, Peter Elmer, Giulio Eulisse, Dave Evans, Federica Fanzago, Fabio Farina
, Derek Feichtinger, Ian Fisk, Josep Flix
, Claudio Grandi
, Yuyi Guo, Kalle Happonen, José M. Hernández
, Chih-Hao Huang, Kejing Kang, Edward Karavakis
, Matthias Kasemann
, Carlos Kavka
, Akram Khan, Bockjoo Kim, Jukka Klem, Jesper Koivumäki, Thomas Kress, Peter Kreuzer, Tibor Kurca, Valentin Kuznetsov, Stefano Lacaprara, Kati Lassila-Perini, James Letts, Tomas Lindén
, Lee Lueking, Joris Maes, Nicolò Magini, Gerhild Maier, Patricia McBride, Simon Metson, Vincenzo Miccio, Sanjay Padhi, Haifeng Pi, Hassen Riahi, Daniel Riley, Paul Rossman, Pablo Saiz, Andrea Sartirana, Andrea Sciabà, Vijay Sekhri, Daniele Spiga
, Lassi A. Tuura, Eric Vaandering, Lukas Vanelderen, Petra Van Mulders, Aresh Vedaee, Ilaria Villella, Eric Wicklund, Tony Wildish, Christoph Wissing, Frank Würthwein:
Distributed Analysis in CMS. J. Grid Comput. 8(2): 159-179 (2010)
Conference and Workshop Papers
- 2023
- [c7]Adrian Alan Pol, Ekaterina Govorkova, Sonja Grönroos, Nadezda Chernyavskaya, Philip C. Harris, Maurizio Pierini, Isobel Ojalvo, Peter Elmer:
Knowledge Distillation for Anomaly Detection. ESANN 2023 - 2020
- [c6]Jim Pivarski
, Ianna Osborne, Pratyush Das
, Anish Biswas
, Peter Elmer
:
Awkward Array: JSON-like data, NumPy-like idioms. SciPy 2020: 78-84 - 2017
- [c5]Jim Pivarski, Peter Elmer, Brian Bockelman
, Zhe Zhang:
Fast access to columnar, hierarchically nested data via code transformation. IEEE BigData 2017: 253-262 - 2016
- [c4]Peter Elmer, Michael Häfner, Toru Tamaki
, Shinji Tanaka, René Thaler, Andreas Uhl, Shigeto Yoshida:
Compression Impact on LIRE-based CBIR of Colonoscopy Data. Bildverarbeitung für die Medizin 2016: 152-157 - 2015
- [c3]Kashif Nizam Khan, Filip Nyback, Zhonghong Ou, Jukka K. Nurminen
, Tapio Niemi, Giulio Eulisse, Peter Elmer, David Abdurachmanov:
Energy Profiling Using IgProf. CCGRID 2015: 1115-1118 - [c2]Peter Elmer, Michael Häfner, Toru Tamaki
, Shinji Tanaka, René Thaler, Andreas Uhl, Shigeto Yoshida:
Impact of Lossy Image Compression on CAD Support Systems for Colonoscopy. CARE@MICCAI 2015: 1-11 - [c1]Peter Elmer, Artur Lupp, Stefan Sprenger, René Thaler, Andreas Uhl:
Exploring Compression Impact on Face Detection Using Haar-like Features. SCIA 2015: 53-64
Informal and Other Publications
- 2023
- [i24]Ho Fung Tsoi, Adrian Alan Pol, Vladimir Loncar, Ekaterina Govorkova, Miles D. Cranmer
, Sridhara Dasu, Peter Elmer, Philip C. Harris, Isobel Ojalvo, Maurizio Pierini:
Symbolic Regression on FPGAs for Fast Machine Learning Inference. CoRR abs/2305.04099 (2023) - [i23]Adrian Alan Pol, Ekaterina Govorkova, Sonja Grönroos, Nadezda Chernyavskaya, Philip C. Harris, Maurizio Pierini, Isobel Ojalvo, Peter Elmer:
Knowledge Distillation for Anomaly Detection. CoRR abs/2310.06047 (2023) - 2022
- [i22]Graeme A. Stewart, Peter Elmer, Elizabeth Sexton-Kennedy:
The HEP Software Foundation Community. CoRR abs/2205.08193 (2022) - 2021
- [i21]Giuseppe Cerati, Peter Elmer, Brian J. Gravelle, Matti Kortelainen, Vyacheslav Krutelyov, Steven Lantz, Mario Masciovecchio, Kevin McDermott, Boyana Norris, Allison Reinsvold Hall, Micheal Reid, Daniel Riley, Matevz Tadel, Peter Wittich, Bei Wang, Frank Würthwein, Avraham Yagil:
Parallelizing the Unpacking and Clustering of Detector Data for Reconstruction of Charged Particle Tracks on Multi-core CPUs and Many-core GPUs. CoRR abs/2101.11489 (2021) - [i20]Jim Pivarski, Ianna Osborne, Pratyush Das, David Lange, Peter Elmer:
AwkwardForth: accelerating Uproot with an internal DSL. CoRR abs/2102.13516 (2021) - [i19]Gage DeZoort
, Savannah Thais, Isobel Ojalvo, Peter Elmer, Vesal Razavimaleki, Javier M. Duarte
, Markus Atkinson, Mark S. Neubauer:
Charged particle tracking via edge-classifying interaction networks. CoRR abs/2103.16701 (2021) - [i18]Abdelrahman Elabd, Vesal Razavimaleki, Shi-Yu Huang, Javier M. Duarte
, Markus Atkinson, Gage DeZoort, Peter Elmer, Jin-Xuan Hu, Shih-Chieh Hsu, Bo-Cheng Lai, Mark S. Neubauer, Isobel Ojalvo, Savannah Thais:
Graph Neural Networks for Charged Particle Tracking on FPGAs. CoRR abs/2112.02048 (2021) - 2020
- [i17]Jim Pivarski, Peter Elmer, David Lange:
Awkward Arrays in Python, C++, and Numba. CoRR abs/2001.06307 (2020) - 2019
- [i16]Matteo Cremonesi, Claudio Bellini, Bianny Bian, Luca Canali, Vasileios Dimakopoulos, Peter Elmer, Ian Fisk, Maria Girone, Oliver Gutsche, Siew-Yan Hoh, Bo Jayatilaka, Viktor Khristenko, Andrea Luiselli, Andrew Melo, Evangelos Motesnitsalis, Dominick Olivito, Jacopo Pazzini, Jim Pivarski, Alexey Svyatkovskiy, Marco Zanetti:
Using Big Data Technologies for HEP Analysis. CoRR abs/1901.07143 (2019) - 2017
- [i15]Oliver Gutsche
, Matteo Cremonesi, Peter Elmer, Bo Jayatilaka
, Jim Kowalkowski, Jim Pivarski, Saba Sehrish, Cristina Mantilla Suarez, Alexey Svyatkovskiy, Nhan Tran:
Big Data in HEP: A comprehensive use case study. CoRR abs/1703.04171 (2017) - [i14]Jim Pivarski, Peter Elmer, Brian Bockelman, Zhe Zhang:
Fast Access to Columnar, Hierarchical Data via Code Transformation. CoRR abs/1708.08319 (2017) - [i13]Oliver Gutsche, Luca Canali, Illia Cremer, Matteo Cremonesi, Peter Elmer, Ian Fisk, Maria Girone, Bo Jayatilaka, Jim Kowalkowski, Viktor Khristenko, Evangelos Motesnitsalis, Jim Pivarski, Saba Sehrish, Kacper Surdy, Alexey Svyatkovskiy:
CMS Analysis and Data Reduction with Apache Spark. CoRR abs/1711.00375 (2017) - 2015
- [i12]David Abdurachmanov, Alessandro Degano, Peter Elmer, Giulio Eulisse, David Mendez, Shahzad Muzaffar:
Optimizing CMS build infrastructure via Apache Mesos. CoRR abs/1507.07429 (2015) - [i11]Lothar Bauerdick, Brian Bockelman, Peter Elmer, Stephen Gowdy, Matevz Tadel, Frank Würthwein:
Designing Computing System Architecture and Models for the HL-LHC era. CoRR abs/1507.07430 (2015) - [i10]David Abdurachmanov, Peter Elmer, Giulio Eulisse, Robert Knight:
Future Computing Platforms for Science in a Power Constrained Era. CoRR abs/1510.03676 (2015) - [i9]Salman Habib, Robert Roser, Tom LeCompte, Zach Marshall, Anders Borgland, Brett Viren, Peter Nugent, Makoto Asai, Lothar Bauerdick, Hal Finkel, Steven Gottlieb, Stefan Hoeche, Paul Sheldon, Jean-Luc Vay, Peter Elmer, Michael Kirby, Simon J. Patton, Maxim Potekhin
, Brian Yanny, Paolo Calafiura, Eli Dart
, Oliver Gutsche
, Taku Izubuchi, Adam Lyon, Don Petravick:
High Energy Physics Forum for Computational Excellence: Working Group Reports (I. Applications Software II. Software Libraries and Tools III. Systems). CoRR abs/1510.08545 (2015) - 2014
- [i8]David Abdurachmanov, Peter Elmer, Giulio Eulisse, Paola Grosso, Curtis W. Hillegas, Burt Holzman, Sander Klous, Robert Knight, Shahzad Muzaffar:
Power-aware applications for scientific cluster and distributed computing. CoRR abs/1404.6929 (2014) - [i7]David Abdurachmanov, Peter Elmer, Giulio Eulisse, Robert Knight, Tapio Niemi, Jukka K. Nurminen, Filip Nyback, Goncalo Pestana, Zhonghong Ou, Kashif Nizam Khan:
Techniques and tools for measuring energy efficiency of scientific software applications. CoRR abs/1410.3440 (2014) - [i6]David Abdurachmanov, Brian Bockelman, Peter Elmer, Giulio Eulisse, Robert Knight, Shahzad Muzaffar:
Heterogeneous High Throughput Scientific Computing with APM X-Gene and Intel Xeon Phi. CoRR abs/1410.3441 (2014) - 2013
- [i5]Peter Elmer, Salvatore Rappoccio
, Kevin Stenson, Peter Wittich
:
The Need for an R&D and Upgrade Program for CMS Software and Computing. CoRR abs/1308.1247 (2013) - [i4]David Abdurachmanov, Peter Elmer, Giulio Eulisse, Shahzad Muzaffar:
Initial Explorations of ARM Processors for Scientific Computing. CoRR abs/1311.0269 (2013) - [i3]Kapil Arya, Gene Cooperman, Andrea Dotti, Peter Elmer:
Use of Checkpoint-Restart for Complex HEP Software on Traditional Architectures and Intel MIC. CoRR abs/1311.0272 (2013) - [i2]David Abdurachmanov, Kapil Arya, Josh Bendavid, Tommaso Boccali, Gene Cooperman, Andrea Dotti, Peter Elmer, Giulio Eulisse, Francesco Giacomini, Christopher D. Jones, Matteo Manzali, Shahzad Muzaffar:
Explorations of the Viability of ARM and Xeon Phi for Physics Processing. CoRR abs/1311.1001 (2013) - 2003
- [i1]Teela Pulliam, Peter Elmer, Alvise Dorigo:
Distributed Offline Data Reconstruction in BaBar. CoRR cs.DC/0306069 (2003)
Coauthor Index
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